projects:models:vectorsselection:ekp_comparision:wstepne_wyniki:iris [Marek Grochowski]

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====== Instance Selection + C4.5 on Iris ======


% 21/11/2009 16:11

Test description:
	Crosvalidation test 10x10
	Normalization [-1,1]
	Vector Selection
	Classification=C45
C45 Configuration:
	BinarySplits=False
	ConfidenceFactor=0.25
	MinNumObj=2
	NumFolds=3
	ReducedErrorPruning=False
	Unpruned=False


=====Iris=====

^             ^   **Accuracy   **  ^^     **Compression **  ^^     **Rules        **  ^^       
|             |     mean   |  std.  |
      mean   |  std.  |
      mean   |  std.  |
|  **   C4.5** | ** 93.60**     |  6.56 | **100.00**     |  0.00 | **  4.00**     |  1.11 |
|  **EkPs60p1** | ** 22.00** :-( |  6.46 | **  2.22** :-( |  0.00 | **  1.00** :-( |  0.00 |
|  **EkPs60p3** | ** 92.47**     |  7.07 | **  6.67** :-( |  0.00 | **  3.00** :-( |  0.00 |
|  **EkPs60p5** | ** 92.60**     |  6.06 | ** 11.11** :-( |  0.00 | **  3.01** :-( |  0.10 |
|  **EkPs60p10** | ** 93.67**     |  6.38 | ** 22.22** :-( |  0.00 | **  3.53**     |  0.67 | 
|  **     CNN** | ** 80.60** :-( | 13.24 | ** 15.90** :-( |  2.08 | **  3.72**     |  0.95 |
|  **   DROP3** | ** 90.40**     |  8.44 | **  9.70** :-( |  1.41 | **  3.00** :-( |  0.00 |
|  **   DROP5** | ** 89.67**     |  7.95 | ** 10.08** :-( |  1.62 | **  3.06** :-( |  0.34 |
|  **   ENRBF** | ** 62.00** :-( | 12.08 | ** 12.64** :-( |  1.80 | **  2.10** :-( |  0.36 |
|  **     ENN** | ** 94.53**     |  5.87 | ** 96.63** :-( |  0.43 | **  3.10** :-( |  0.33 |
|  **     ICF** | ** 93.60**     |  6.21 | ** 29.84** :-( |  4.37 | **  3.15** :-( |  0.41 |
|  **      GE** | ** 93.87**     |  6.54 | ** 32.15** :-( |  2.03 | **  4.01**     |  1.03 |
|  **    RNGE** | ** 82.53** :-( | 14.79 | ** 15.17** :-( |  1.68 | **  3.66**     |  1.09 |
|  **    RMHC** | ** 33.33** :-( | 10.42 | **  2.22** :-( |  0.00 | **  1.00** :-( |  0.00 |
|  **      MC** | ** 33.33** :-( | 10.42 | **  2.22** :-( |  0.00 | **  1.00** :-( |  0.00 |
:-) statistically significant improvement, :-( significant degradation


EkPs60p1 Configuration:
	Classifier=C45
	PostClassifier=C45
	CostTolerance=1E-16
	MaxNumCostCalls=300
	MaxSimplexIters=200
	NumFolds=-1
	NumProtoPerClass=1
	NumSimplexPoints=60

EkPs60p3 Configuration:
	Classifier=C45
	PostClassifier=C45
	CostTolerance=1E-16
	MaxNumCostCalls=300
	MaxSimplexIters=200
	NumFolds=-1
	NumProtoPerClass=3
	NumSimplexPoints=60

EkPs60p5 Configuration:
	Classifier=C45
	PostClassifier=C45
	CostTolerance=1E-16
	MaxNumCostCalls=300
	MaxSimplexIters=200
	NumFolds=-1
	NumProtoPerClass=5
	NumSimplexPoints=60

EkPs60p10 Configuration:
	Classifier=C45
	PostClassifier=C45
	CostTolerance=1E-16
	MaxNumCostCalls=300
	MaxSimplexIters=200
	NumFolds=-1
	NumProtoPerClass=10
	NumSimplexPoints=60

CNN Configuration:
	Classifier=kNN k=3, Metric=Intemi.Metric.SquareEuclidean

DROP3 Configuration:
	Classifier=kNN k=3, Metric=Intemi.Metric.SquareEuclidean
	Order=EnemyDistance
	ENN=True
	IncludePruned=True

DROP5 Configuration:
	Classifier=kNN k=3, Metric=Intemi.Metric.SquareEuclidean
	Order=EnemyDistanceAndReverse
	ENN=False
	IncludePruned=True

ENRBF Configuration:
	Sigma=0.5
	Strenght=0.05
	RemoveNoise=True
	Tolerance=0.95
	Metric=Intemi.Metric.SquareEuclidean

ENN Configuration:
	Classifier=kNN k=3, Metric=Intemi.Metric.SquareEuclidean
	Repeated=False

ICF Configuration:
	Metric=Intemi.Metric.SquareEuclidean
	Filter=(ENN using kNN k=3)

GE Configuration:
	Metric=Intemi.Metric.SquareEuclidean
	MeighboursType=Gabriel

RNGE Configuration:
	Metric=Intemi.Metric.SquareEuclidean
	MeighboursType=Relative

RMHC Configuration:
	Classifier=kNN k=1, Metric=Intemi.Metric.SquareEuclidean
	Search=randomMutation
	Mutations=1000

MC Configuration:
	Classifier=kNN k=1, Metric=Intemi.Metric.SquareEuclidean
	Search=monteCarlo
	Mutations=1000